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You’ll benefit from data preparation and visualization tools, parametric and nonparametric tests, modeling methods (ANOVA, regression, generalized linear models, nonlinear models), data mining features (principal component analysis, correspondence analysis…) and clustering methods (Agglomerative Hierarchical Clustering, K-means…).
Random stratified (2): Rows are chosen at random within N strata defined by the user. In each stratum, the number of sampled observations is proportional to the relative frequency of the stratum.
XLSTAT data sampling options
XLSTAT offers the following methods for generating a sample of N observations from a table of M rows:
XLSTAT Basic, essential data analysis tools for Excel
The Basic solution is a competitively-priced starter solution that includes over 100 essential statistical tools that will allow you to gain deep insight into your data.
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